At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Principal Storage Software Engineer – Cloud & Distributed Storage

About the Role

• We are looking for a highly experienced Storage Software Engineer with 15+  years of software engineering experience to architect, design, and build highly scalable Block, File, and Object Storage platforms and database-aware storage platforms running in Kubernetes environments.
• This role is ideal for a senior technical leader who can architect, design, code, influence, and own complex storage systems end-to-end. You will play a key role in defining the technical direction and evolution of our storage platform while driving engineering excellence and raising the technical bar across the organization.
• This is a deeply hands-on engineering role that combines strong systems programming and coding skills with storage architecture, distributed systems expertise, and technical leadership. The ideal candidate is equally comfortable defining long-term architecture, writing production-quality code, solving complex performance and reliability problems, and guiding engineers through the design and delivery of large-scale storage systems.

What You’ll Do

• Architect and develop highly scalable block, file, and object storage systems.

• Build database-aware storage optimized for PostgreSQL, relational databases, distributed databases, and other stateful workloads.

• Use AI coding agents to your advantage to boost productivity and lead us to the future of AI native engineering. Capable of giving the right context and detailed requirements to the Agent.

• Design storage data planes and control planes for Kubernetes environments.

• Develop Kubernetes-native storage integrations using CSI, operators, controllers, CRDs, and storage classes.